(SISO) Model Reference Adaptive Control for Single-Input Single-Output Systems - Code World

(SISO) Model Reference Adaptive Control for Single-Input Single-Output Systems

Enterprise 2023-06-05 09:28:14 views: null

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Origin blog.csdn.net/qq_45830323/article/details/129876933

(SISO) Model Reference Adaptive Control for Single-Input Single-Output Systems

Linear systems and nonlinear systems, steady systems and time-varying systems, continuous systems and discrete systems, single-input single-output systems and multiple-input multiple-output systems (automatic control principles)

[MATLAB Issue 71] Abcboost adaptive decision tree multi-input single-output regression prediction and multi-classification prediction model based on MATLAB (under update)

Adaptive Control——Simulation Experiment 2 Using Narendra Scheme Design Model Reference Adaptive System

[Bayesian model] BO-MLP Bayesian optimized multi-layer perceptron multi-input single-output regression prediction

[MATLAB Issue 70] LightGbm (LGBM) gradient boosted decision tree multi-input single-output regression prediction and multi-classification prediction model based on MATLAB (first release on the entire network)

OSI Reference Model (Open Systems Interconnection way)

OSI Open Systems Interconnection Reference Model

Regression prediction | MATLAB implements CNN-BiGRU-Attention multi-input single-output regression prediction

Multi-input single-output prediction: Matlab implementation combining multiple regression analysis and LSTM neural network

Regression prediction | MATLAB implements ELM extreme learning machine multi-input single-output regression prediction (multiple indicators, correlation diagram)

Interval prediction | MATLAB implements QRFR random forest quantile regression multi-input single-output interval prediction

Interval prediction | MATLAB implements QRGRU gated recurrent unit quantile regression multi-input single-output interval prediction

Regression prediction | MATLAB implements multi-input single-output regression prediction based on SAE stacked self-editor

[MATLAB Issue 76] A collection of representative sample screening methods based on MATLAB (for multi-input single-output data)

Detailed OSI seven-layer model - Open Systems Interconnection Reference Model Detailed

Java input output reference hanging

Note adaptive control

The adaptive control button text

Multivariate classification prediction | Matlab is based on PSO-GRU-Attention to do a classification model with multiple feature input and single output

[Learning record] Learning of simscape of matlab - modeling and simulation of single-stage inverted pendulum model under PID control

[Thesis] Reinforcement learning based control input nonlinear underwater robot adaptive neural network control

Regression prediction | MATLAB implements regression prediction based on LSTM-AdaBoost long short-term memory network combined with AdaBoost multi-input single-output

[Optimization Algorithm] MATLAB implements multi-input single-output (multi-indicator evaluation) based on TSO-XGBoost tuna algorithm to optimize XGBoost

Regression prediction | MATLAB implements PSO-DNN particle swarm optimization algorithm to optimize data multi-input single-output regression prediction of deep neural network

Regression prediction | MATLAB realizes regression prediction based on BiGRU-AdaBoost bidirectional gated recurrent unit combined with AdaBoost multi-input single-output

Regression prediction | MATLAB implements TCN-LSTM time convolution long short-term memory neural network multi-input single-output regression prediction

Regression prediction | MATLAB implements regression prediction based on ELM-Adaboost extreme learning machine combined with AdaBoost multi-input single-output

Regression prediction | MATLAB implements regression prediction based on SVM-Adaboost support vector machine combined with AdaBoost multi-input single-output

Interval prediction | MATLAB implements QRBiLSTM bidirectional long short-term memory neural network quantile regression multi-input single-output interval prediction

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